Getting Started With the GCP
Setting Up A GCP Account
Using The Cloud Shell
An end-to-end example: Kubernetes on the GKE

How Kubernetes Works
The Role of the Master Node
Nodes, Kube-proxy, Kubelet
What Is A Pod?
Lab:Creating pods imperatively
Where Do Pods Run?
Can Pods Have Multiple Containers?
Lab:Multi-container Pods
How Do Master Nodes Communicate?
Where Can We Run Kubernetes?
Kubernetes for a Hybrid Multi-cloud World
Cloud Controllers
Interacting with Kubernetes

Lab:Creating pods declaratively
Imperative or Declarative?
How Declarative Files are Applied
The Pros and Cons of Declarative and Imperative Object Management
Names and UIDs
Namespaces
Labels
Label Selectors Loose Coupling
Annotations
Lab:Deletion of pods
Lab:Editing the configuration information of the deployment
Lab: Scaling The Number of Pods using Deployments

Introducing Controllers
Lab:ReplicaSet object
Working with ReplicaSets
Lab:Deleting a ReplicaSet and its associated pods
Lab:Deleting a ReplicaSet but not the associated pods
ReplicaSets and Loose Coupling
Horizontal Pod Autoscalers
Lab:Loose coupling between ReplicaSet object and the pods
Lab:Scaling a ReplicaSet object

Replication Controllers
Lab:Replication controller
Lab:Deleting a replication controller and the associated pods
Lab:Deleting a replication controller but not its pods
Lab:Loose coupling between replication controller and its pods

Course Description

Improve their odds of succeeding at the CNCF Certified Kubernetes Administrator test

Build and administer Kubernetes clusters - on-premise, as well as on all major cloud platforms (AWS, Azure, GCP)

Understand and employ advanced deployment solutions using Kubernetes

Master the important aspects of Kubernetes - pods, replicasets, deployments and services

About the course

Kubernetes is a container orchestration technology - a way to create and deploy clusters of machines running containers, usually Docker containers.

Kubernetes is also one of the hottest topics in tech today, because it is perhaps the only straightforward way to architect a hybrid, multi-cloud compute solution.

Let's parse that:

Hybrid: This is a solution where an enterprise has a private cloud or on-premise data center, in addition to using one of the public cloud providers (such as AWS, GCP or Azure). Any firm migrating to the cloud is going to have to run a hybrid setup, at least during the migration

Multi-cloud: This refers to the use of more than 1 cloud provider. Why is this so important? Well, because most large firms are unwilling to be completely locked into one provider, particularly after events like Amazon's acquisition of Whole Foods (that gave pause to a whole lot of potential AWS customers, who decided that 'multi-cloud' makes sense for strategic reasons)

Only straightforward way: Most cloud providers offer a range of compute solutions, ranging from PaaS (Elastic Beanstalk, or Google App Engine) to IaaS (EC2, or Google Compute Engine VMs). The reality is that PaaS ties you down to 1 cloud provider, and IaaS is a lot of hassle, during migration and beyond.

Kubernetes is supported by each of the Big-3: GCP has a special relationship with Kubernetes (since K8S originated at Google) but now AWS and Azure support it as well. Kubernetes has won the battle of the container orchestration systems.

This is why containers running on Kubernetes constitute the hottest compute choice for a hybrid, multi-cloud world.

What's Covered

Here is what this course contains:

Docker, Kubernetes and the cloud platforms: understanding the inter-relationships

Pods and containers: Pods are the basic building block in K8S; each pod holds one or more containers that are tightly-coupled to each other

ReplicaSets: Higher-level abstractions that provide scaling and auto-healing (they encapsulate pods, and bring new pods back up if the old ones crash)

Deployments: Even higher-level abstractions that provide versioning, fast rollback, rolling updates and more

Services: Front-end abstractions (think of them as similar to load-balancers) that are loosely coupled with backend pods. Services provide a static, stable network frontend IP, as well as load-balancing

Other K8S objects: StatefulSets, Secrets, ConfigMaps, Jobs and CronJobs and more

CKA test tips: We don't reveal any information about the test that we should not, such as specific questions. But we do discuss the test format, what to expect, pitfalls to avoid, and strategies for success

Who should take the course?

Cloud Architects looking to understand the compute choices on AWS, Azure and GCP

Technical decision makers evaluating a hybrid, multi-cloud solution

Devops professionals looking to master Kubernetes

Anyone seeking to take and pass the CNCF Certified Kubernetes Administrator test

Pre-requisites & Requirements

Understanding of basic computer science concepts: What an operating system and executable unit are

Basic understanding of cloud computing would help, but is not required

Basic understanding of what a container is would help, but is not required